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Stochastic equation and exponential ergodicity in Wasserstein distances for affine processes (1901.05815v2)

Published 17 Jan 2019 in math.PR

Abstract: This work is devoted to the study of conservative affine processes on the canonical state space $D = $R_+m \times \Rn$, where $m + n > 0$. We show that each affine process can be obtained as the pathwise unique strong solution to a stochastic equation driven by Brownian motions and Poisson random measures. Then we study the long-time behavior of affine processes, i.e., we show that under first moment condition on the state-dependent and log-moment conditions on the state-independent jump measures, respectively, each subcritical affine process is exponentially ergodic in a suitably chosen Wasserstein distance. Moments of affine processes are studied as well.

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